Pricing

from $1.50 / 1,000 result saveds

Try for free

Go to Apify Store

Reddit Scraper - MCP, AI, PPR

Try for free

Reddit Scraper lets you extract posts, comments, users, and communities without API rate limits. With a flexible pay-per-result model, it’s perfect for one-time projects, targeted data pulls, research, brand tracking, and competitor analysis—only pay for what you use. Works with MCP and AI tools.

Pricing

from $1.50 / 1,000 result saveds

Rating

4.9

(10)

Developer

Harsh Maur

Actor stats

Bookmarked

1.4K

Total users

426

Monthly active users

2.1 hours

Issues response

3 days ago

Last modified

Categories

Social media

Lead generation

Automation

You can access the Reddit Scraper - MCP, AI, PPR programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
  "openapi": "3.0.1",
  "info": {
    "version": "0.0",
    "x-build-id": "bepPwx5txqJv7hoYw"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/harshmaur~reddit-scraper/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-harshmaur-reddit-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/harshmaur~reddit-scraper/runs": {
      "post": {
        "operationId": "runs-sync-harshmaur-reddit-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/harshmaur~reddit-scraper/run-sync": {
      "post": {
        "operationId": "run-sync-harshmaur-reddit-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    }
  },
  "components": {
    "schemas": {
      "inputSchema": {
        "type": "object",
        "properties": {
          "searchTerms": {
            "title": "Search Keywords",
            "type": "array",
            "description": "Enter one or more keywords to search Reddit (e.g. \"best laptops 2025\", \"AI news\"). Each keyword runs as a separate search. Leave empty if you only want to scrape Direct URLs below.",
            "default": [],
            "items": {
              "type": "string"
            }
          },
          "searchPosts": {
            "title": "Search for posts",
            "type": "boolean",
            "description": "Include posts in keyword search results.",
            "default": true
          },
          "searchComments": {
            "title": "Search for comments",
            "type": "boolean",
            "description": "Include comments in keyword search results.",
            "default": false
          },
          "searchCommunities": {
            "title": "Search for communities",
            "type": "boolean",
            "description": "Include communities (subreddits) in keyword search results.",
            "default": false
          },
          "withinCommunity": {
            "title": "Limit search to a community",
            "type": "string",
            "description": "Restrict keyword search to a single subreddit. Enter in format: r/developers. Leave empty to search all of Reddit. Only applies to Search Keywords.",
            "default": ""
          },
          "searchSort": {
            "title": "Sort search results by",
            "enum": [
              "",
              "relevance",
              "hot",
              "top",
              "new",
              "comments"
            ],
            "type": "string",
            "description": "Controls how keyword search results are ranked. Only applies to Search Keywords, not Direct URLs.",
            "default": "new"
          },
          "searchTime": {
            "title": "Time range",
            "enum": [
              "all",
              "hour",
              "day",
              "week",
              "month",
              "year"
            ],
            "type": "string",
            "description": "Limit keyword search results to posts from a specific time window. Only applies to Search Keywords.",
            "default": "all"
          },
          "startUrls": {
            "title": "Reddit URLs",
            "type": "array",
            "description": "Add one or more Reddit URLs to scrape directly. Supports post URLs, subreddit URLs, user profile URLs, and search page URLs. The Search Keywords options above (sort, time, community filter) do NOT apply to these URLs.",
            "default": [],
            "items": {
              "type": "object",
              "required": [
                "url"
              ],
              "properties": {
                "url": {
                  "type": "string",
                  "title": "URL of a web page",
                  "format": "uri"
                }
              }
            }
          },
          "fastMode": {
            "title": "Fast mode for search page URLs",
            "type": "boolean",
            "description": "Speeds up scraping of search page URLs at the cost of some accuracy — some posts may be missed. Disable if you need exact results matching what you see on Reddit. Search Keywords always use fast mode automatically.",
            "default": true
          },
          "crawlCommentsPerPost": {
            "title": "Scrape comments for each post",
            "type": "boolean",
            "description": "When enabled, comments will be collected for every post found from both Search Keywords and Direct URLs. This significantly increases run time and data output.",
            "default": false
          },
          "includeNSFW": {
            "title": "Include NSFW (18+) content",
            "type": "boolean",
            "description": "Include posts marked as Not Safe For Work in results. Applies to both Search Keywords and Direct URLs.",
            "default": false
          },
          "maxPostsCount": {
            "title": "Max posts",
            "minimum": 0,
            "maximum": 900,
            "type": "integer",
            "description": "Maximum number of posts to save across all search results, subreddit pages, and user profiles. Max: 900.",
            "default": 10
          },
          "maxCommentsCount": {
            "title": "Max search comments",
            "minimum": 0,
            "type": "integer",
            "description": "Maximum comments returned from keyword search (when 'Search for comments' is enabled). Does not affect per-post comment scraping.",
            "default": 10
          },
          "maxCommentsPerPost": {
            "title": "Max comments per post",
            "minimum": 0,
            "type": "integer",
            "description": "Maximum comments to scrape per individual post (when 'Scrape comments for each post' is enabled).",
            "default": 10
          },
          "maxCommunitiesCount": {
            "title": "Max communities",
            "minimum": 0,
            "type": "integer",
            "description": "Maximum communities returned from keyword search (when 'Search for communities' is enabled).",
            "default": 2
          },
          "proxy": {
            "title": "Proxy configuration",
            "type": "object",
            "description": "Either use Apify proxy, or provide your own proxy servers.",
            "default": {
              "useApifyProxy": true,
              "apifyProxyGroups": [
                "RESIDENTIAL"
              ]
            }
          }
        }
      },
      "runsResponseSchema": {
        "type": "object",
        "properties": {
          "data": {
            "type": "object",
            "properties": {
              "id": {
                "type": "string"
              },
              "actId": {
                "type": "string"
              },
              "userId": {
                "type": "string"
              },
              "startedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "finishedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "status": {
                "type": "string",
                "example": "READY"
              },
              "meta": {
                "type": "object",
                "properties": {
                  "origin": {
                    "type": "string",
                    "example": "API"
                  },
                  "userAgent": {
                    "type": "string"
                  }
                }
              },
              "stats": {
                "type": "object",
                "properties": {
                  "inputBodyLen": {
                    "type": "integer",
                    "example": 2000
                  },
                  "rebootCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "restartCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "resurrectCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "computeUnits": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "options": {
                "type": "object",
                "properties": {
                  "build": {
                    "type": "string",
                    "example": "latest"
                  },
                  "timeoutSecs": {
                    "type": "integer",
                    "example": 300
                  },
                  "memoryMbytes": {
                    "type": "integer",
                    "example": 1024
                  },
                  "diskMbytes": {
                    "type": "integer",
                    "example": 2048
                  }
                }
              },
              "buildId": {
                "type": "string"
              },
              "defaultKeyValueStoreId": {
                "type": "string"
              },
              "defaultDatasetId": {
                "type": "string"
              },
              "defaultRequestQueueId": {
                "type": "string"
              },
              "buildNumber": {
                "type": "string",
                "example": "1.0.0"
              },
              "containerUrl": {
                "type": "string"
              },
              "usage": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "integer",
                    "example": 1
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "usageTotalUsd": {
                "type": "number",
                "example": 0.00005
              },
              "usageUsd": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "number",
                    "example": 0.00005
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

Reddit Scraper - MCP, AI, PPR OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Reddit Scraper - MCP, AI, PPR from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Reddit Scraper - MCP, AI, PPR API in Python

Reddit Scraper - MCP, AI, PPR API in JavaScript

Reddit Scraper - MCP, AI, PPR API through CLI

Reddit Scraper - MCP, AI, PPR API

Reddit Scraper Pro

harshmaur/reddit-scraper-pro

Reddit Scraper Pro is a powerful, unlimited scraping for $20/mo for extracting data from Reddit. Scrape posts, users, comments, and communities with advanced search capabilities. Perfect for brand monitoring, trend tracking, and competitor research. Supports make, n8n integrations

Harsh Maur

1.9K

4.8

Reddit Scraper Lite

trudax/reddit-scraper-lite

Pay Per Result, unlimited Reddit web scraper to crawl posts, comments, communities, and users without login. Limit web scraping by number of posts or items and extract all data in a dataset in multiple formats.

Trudax

18K

4.3

Reddit Scraper

trudax/reddit-scraper

Unlimited Reddit web scraper to crawl posts, comments, communities, and users without login. Limit web scraping by number of posts or items and extract all data in a dataset in multiple formats.

Trudax

12K

3.4

🔥🔥Reddit Scraper ✅ 2$/1k for Post | Comments | Communities

boneswill/reddit-scraper-2-1k-for-post-comments-communities

Reddit Scraper to crawl posts, comments, communities, and users without login. Limit web scraping by number of posts or items and extract all data in a dataset in multiple formats ⚡

succexx_DEV

213

4.9

Reddit Scraper ✅ Posts, Comments, Users, Communities | NO LOGIN

peakydev/reddit-scraper-post-comments-users

NOW WORKS✅. Reddit scraper for posts, comments, users, listings, communities and more. NO LOGIN Required

Peaky Dev

226

4.9

Reddit API Scraper

comchat/reddit-api-scraper

Reddit Scraper is a powerful tool that allows you to extract data from Reddit such as posts by keyword. With Reddit Scraper, you can easily gather valuable information from Reddit without the need to log in. You can easily use this Reddit scraper as an alternative API.

Comchat

1.9K

4.4

Reddit Posts Search Scraper

easyapi/reddit-posts-search-scraper

Extract Reddit posts from search results with rich metadata, including media content, engagement metrics, and community information. Perfect for content research, trend analysis, and social media monitoring across Reddit communities.

EasyApi

240

Reddit Scraper

crawlerbros/reddit-scraper

Scrape entire subreddits with this crawler. Returns the posts in a subreddit along with their title, text, scores and timestamps etc.

Crawler Bros

398

5.0

Fast Reddit Scraper ($2/1k): Cheap & Bulk Data

practicaltools/apify-reddit-api

The most affordable Reddit scraper on the store. 60% cheaper than the competition. Perfect for training AI models, bulk historical data, and sentiment analysis.

Practical Tools

511

5.0

Reddit Scraper

epctex/reddit-scraper

Tap into the wealth of Reddit's data with our Reddit Scraper. Extract valuable insights from posts, subreddits, comments, and user data effortlessly. Simplify analysis and gain valuable insights from the diverse Reddit community with our user-friendly and efficient tool.